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Model: Azazelle/xDAN-SlimOrca Source: Original Platform
2026-05-08 11:31:03 +08:00
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+---
+license: cc-by-4.0
+tags:
+- mistral
+- merge
+pipeline_tag: text-generation
+model-index:
+- name: xDAN-SlimOrca
+  results:
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: AI2 Reasoning Challenge (25-Shot)
+      type: ai2_arc
+      config: ARC-Challenge
+      split: test
+      args:
+        num_few_shot: 25
+    metrics:
+    - type: acc_norm
+      value: 65.61
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Azazelle/xDAN-SlimOrca
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: HellaSwag (10-Shot)
+      type: hellaswag
+      split: validation
+      args:
+        num_few_shot: 10
+    metrics:
+    - type: acc_norm
+      value: 85.7
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Azazelle/xDAN-SlimOrca
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MMLU (5-Shot)
+      type: cais/mmlu
+      config: all
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 63.67
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Azazelle/xDAN-SlimOrca
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: TruthfulQA (0-shot)
+      type: truthful_qa
+      config: multiple_choice
+      split: validation
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: mc2
+      value: 57.68
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Azazelle/xDAN-SlimOrca
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: Winogrande (5-shot)
+      type: winogrande
+      config: winogrande_xl
+      split: validation
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 77.66
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Azazelle/xDAN-SlimOrca
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: GSM8k (5-shot)
+      type: gsm8k
+      config: main
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 57.92
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Azazelle/xDAN-SlimOrca
+      name: Open LLM Leaderboard
+---
+# Model Card for xDAN-SlimOrca
+<!-- Provide a quick summary of what the model is/does. -->
+Slerp merge of xDAN-L1-Chat-RL-v1 and mistral-7b-slimorcaboros.
+
+.yaml file for mergekit
+```.yaml:
+slices:
+  - sources:
+      - model: xDAN-AI/xDAN-L1-Chat-RL-v1
+        layer_range: [0, 32]
+      - model: openaccess-ai-collective/mistral-7b-slimorcaboros
+        layer_range: [0, 32]
+merge_method: slerp
+base_model: mistralai/Mistral-7B-v0.1
+parameters:
+  t:
+    - filter: self_attn
+      value: [0.14, 0.57, 0.4, 0.74, 1]
+    - filter: mlp
+      value: [0.86, 0.43, 0.6, 0.26, 0]
+    - value: 0.5 # fallback for rest of tensors
+dtype: float16
+```
+# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
+Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Azazelle__xDAN-SlimOrca)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |68.04|
+|AI2 Reasoning Challenge (25-Shot)|65.61|
+|HellaSwag (10-Shot)              |85.70|
+|MMLU (5-Shot)                    |63.67|
+|TruthfulQA (0-shot)              |57.68|
+|Winogrande (5-shot)              |77.66|
+|GSM8k (5-shot)                   |57.92|
+